Geodesic
Human-computer cloud for decision support: platform methodology and architecture
Informacionnye tehnologii i vyčislitelnye sistemy, no. 1 (2017), pp. 30-39

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Rapid development of cloud services can be seen last years in Russia and other countries. Usually companies prefer to get services in the minor areas as cloud services instead of internal staff. Integration of cloud computing concept with crowd computing allows to provide customers completely new services based on competencies of group of people. The paper presents state-of-the-art in the area of cloud computing for controlling of human resource and sensor networks; requirements for humancomputer cloud systems; methodology and architecture for development of distributed decision support systems based on human-computer cloud.
Keywords: human-computer cloud, decision support, crowd computing
Mots-clés : ontologies. 
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     title = {Human-computer cloud for decision support: platform methodology and architecture},
     journal = {Informacionnye tehnologii i vy\v{c}islitelnye sistemy},
     pages = {30--39},
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     number = {1},
     year = {2017},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/ITVS_2017_1_a3/}
}
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A. V. Smirnov; A. V. Ponomarev; A. M. Kashevnik; T. V. Levashova; N. N. Teslia. Human-computer cloud for decision support: platform methodology and architecture. Informacionnye tehnologii i vyčislitelnye sistemy, no. 1 (2017), pp. 30-39. http://geodesic.mathdoc.fr/item/ITVS_2017_1_a3/